Literature DB >> 27884739

Structural and functional improvements due to robot-assisted gait training in the stroke-injured brain.

Hea Eun Yang1, Sunghyon Kyeong2, Seung Hwa Lee1, Won-Jae Lee1, Sang Won Ha3, Seung Min Kim3, Hyunkoo Kang4, Won Min Lee1, Chang Soon Kang1, Dae Hyun Kim5.   

Abstract

Robot-assisted gait training (RAGT) can improve walking ability after stroke. Because the underlying mechanisms are still unknown, we analyzed changes in post-stroke injured brains after RAGT. Ten non-ambulatory patients receiving inpatient rehabilitation were examined within 3 months of stroke onset. RAGT consisted of 45min of training, 3days per week. We acquired diffusion tensor imaging (DTI) data before and after 20 sessions of RAGT. Fractional anisotropy (FA) maps were then used to determine neural changes after RAGT. Fugl-Meyer motor assessment of the lower extremity, motricity index of the lower extremity, functional ambulation category, and trunk control tests were also conducted before training, after 10 and 20 RAGT sessions, and at the 1-month follow-up. After RAGT, the supplementary motor area of the unaffected hemisphere showed increased FA, but the internal capsule, substantia nigra, and pedunculopontine nucleus of the affected hemisphere showed decreased FA. All clinical outcome measures improved after 20 sessions of RAGT. Our findings indicate that RAGT can facilitate plasticity in the intact supplementary motor area, but not the injured motor-related areas, in the affected hemisphere.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Functional recovery; Gait; Plasticity; Rehabilitation; Robotic-assisted therapy; Stroke

Mesh:

Year:  2016        PMID: 27884739     DOI: 10.1016/j.neulet.2016.11.039

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  7 in total

1.  Adjustable Parameters and the Effectiveness of Adjunct Robot-Assisted Gait Training in Individuals with Chronic Stroke.

Authors:  Shih-Ching Chen; Jiunn-Horng Kang; Chih-Wei Peng; Chih-Chao Hsu; Yen-Nung Lin; Chien-Hung Lai
Journal:  Int J Environ Res Public Health       Date:  2022-07-04       Impact factor: 4.614

2.  Effect of reducing assistance during robot-assisted gait training on step length asymmetry in patients with hemiplegic stroke: A randomized controlled pilot trial.

Authors:  Jin Seok Seo; Hee Seung Yang; Suk Jung; Chang Soon Kang; Sunghun Jang; Dae Hyun Kim
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.889

3.  Changes in Balance, Gait and Electroencephalography Oscillations after Robot-Assisted Gait Training: An Exploratory Study in People with Chronic Stroke.

Authors:  Hoon-Ming Heng; Ming-Kuei Lu; Li-Wei Chou; Nai-Hsin Meng; Hui-Chun Huang; Masashi Hamada; Chon-Haw Tsai; Jui-Cheng Chen
Journal:  Brain Sci       Date:  2020-11-06

4.  Five-day rehabilitation of patients undergoing total knee arthroplasty using an end-effector gait robot as a neuromodulation blending tool for deafferentation, weight offloading and stereotyped movement: Interim analysis.

Authors:  Kyo-In Koo; Chang Ho Hwang
Journal:  PLoS One       Date:  2020-12-16       Impact factor: 3.240

5.  Abnormal synergistic gait mitigation in acute stroke using an innovative ankle-knee-hip interlimb humanoid robot: a preliminary randomized controlled trial.

Authors:  Chanhee Park; Mooyeon Oh-Park; Amy Bialek; Kathleen Friel; Dylan Edwards; Joshua Sung H You
Journal:  Sci Rep       Date:  2021-11-24       Impact factor: 4.379

6.  Stage 2: Who Are the Best Candidates for Robotic Gait Training Rehabilitation in Hemiparetic Stroke?

Authors:  Wonjun Oh; Chanhee Park; Seungjun Oh; Sung Joshua H You
Journal:  J Clin Med       Date:  2021-12-06       Impact factor: 4.241

7.  Immediate muscle strengthening by an end-effector type gait robot with reduced real-time use of leg muscles: A case series and review of literature.

Authors:  Chang Ho Hwang
Journal:  World J Clin Cases       Date:  2019-10-06       Impact factor: 1.337

  7 in total

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